Estimation of Daily Mean Land Surface Temperature over the Qinghai–Tibet Plateau Based on an RTM-DTC Model
Accurately estimating daily mean land surface temperature (LST) is crucial for studying the urban heat island effect, land–atmosphere energy exchange, and global climate change. However, limited research has been conducted on average surface temperature estimation, particularly in high-altitude regi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/14/10/1559 |
| _version_ | 1827721810710364160 |
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| author | Lei Zhao Dongjian Xue Xiaoxuan Zhang Yudi Fu |
| author_facet | Lei Zhao Dongjian Xue Xiaoxuan Zhang Yudi Fu |
| author_sort | Lei Zhao |
| collection | DOAJ |
| description | Accurately estimating daily mean land surface temperature (LST) is crucial for studying the urban heat island effect, land–atmosphere energy exchange, and global climate change. However, limited research has been conducted on average surface temperature estimation, particularly in high-altitude regions like the Qinghai–Tibet Plateau with extensive cloud cover. In this study, we propose the Reanalysis Data and Thermal Infrared Remote Sensing Data Merging-Diurnal Temperature Cycle (RTM-DTC) model specifically for the Qinghai–Tibet Plateau, successfully estimating mean LST using the model. We apply the RTM method to reconstruct LST under cloud cover from the MODIS LST product and calculate the average temperature using the DTC model. Validation with in situ measurements from seven meteorological stations on the Tibetan Plateau yielded daily scale RMSEs ranging from 1.81 K to 2.021 K and monthly scale RMSEs ranging from 1.77 K to 2.0 K, with an average RMSE of 1.91 K. These results demonstrate the adaptability of the RTM-DTC model and its ability to depict the annual variation curve of the mean surface temperature, and provide further research on RTM-DTC as a valuable approach. |
| first_indexed | 2024-03-10T21:27:55Z |
| format | Article |
| id | doaj.art-f107f8d5fdb24105bf3bb62b11b3d61c |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T21:27:55Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-f107f8d5fdb24105bf3bb62b11b3d61c2023-11-19T15:36:44ZengMDPI AGAtmosphere2073-44332023-10-011410155910.3390/atmos14101559Estimation of Daily Mean Land Surface Temperature over the Qinghai–Tibet Plateau Based on an RTM-DTC ModelLei Zhao0Dongjian Xue1Xiaoxuan Zhang2Yudi Fu3Key Laboratory of the Northern Qinghai–Tibet Plateau Geological Processes and Mineral Resources, Xining 810300, ChinaKey Laboratory of the Northern Qinghai–Tibet Plateau Geological Processes and Mineral Resources, Xining 810300, ChinaCollege of Earth Science, Chengdu University of Technology, No. 1, East 3rd Road, Erxianqiao, Chengdu 610059, China;<email>zhangxiaoxuan@stu.cdut.edu.cn</email> (X.Z.)College of Earth Science, Chengdu University of Technology, No. 1, East 3rd Road, Erxianqiao, Chengdu 610059, China;<email>zhangxiaoxuan@stu.cdut.edu.cn</email> (X.Z.)Accurately estimating daily mean land surface temperature (LST) is crucial for studying the urban heat island effect, land–atmosphere energy exchange, and global climate change. However, limited research has been conducted on average surface temperature estimation, particularly in high-altitude regions like the Qinghai–Tibet Plateau with extensive cloud cover. In this study, we propose the Reanalysis Data and Thermal Infrared Remote Sensing Data Merging-Diurnal Temperature Cycle (RTM-DTC) model specifically for the Qinghai–Tibet Plateau, successfully estimating mean LST using the model. We apply the RTM method to reconstruct LST under cloud cover from the MODIS LST product and calculate the average temperature using the DTC model. Validation with in situ measurements from seven meteorological stations on the Tibetan Plateau yielded daily scale RMSEs ranging from 1.81 K to 2.021 K and monthly scale RMSEs ranging from 1.77 K to 2.0 K, with an average RMSE of 1.91 K. These results demonstrate the adaptability of the RTM-DTC model and its ability to depict the annual variation curve of the mean surface temperature, and provide further research on RTM-DTC as a valuable approach.https://www.mdpi.com/2073-4433/14/10/1559mean land surface temperatureRTM-DTCQinghai–Tibet Plateau |
| spellingShingle | Lei Zhao Dongjian Xue Xiaoxuan Zhang Yudi Fu Estimation of Daily Mean Land Surface Temperature over the Qinghai–Tibet Plateau Based on an RTM-DTC Model Atmosphere mean land surface temperature RTM-DTC Qinghai–Tibet Plateau |
| title | Estimation of Daily Mean Land Surface Temperature over the Qinghai–Tibet Plateau Based on an RTM-DTC Model |
| title_full | Estimation of Daily Mean Land Surface Temperature over the Qinghai–Tibet Plateau Based on an RTM-DTC Model |
| title_fullStr | Estimation of Daily Mean Land Surface Temperature over the Qinghai–Tibet Plateau Based on an RTM-DTC Model |
| title_full_unstemmed | Estimation of Daily Mean Land Surface Temperature over the Qinghai–Tibet Plateau Based on an RTM-DTC Model |
| title_short | Estimation of Daily Mean Land Surface Temperature over the Qinghai–Tibet Plateau Based on an RTM-DTC Model |
| title_sort | estimation of daily mean land surface temperature over the qinghai tibet plateau based on an rtm dtc model |
| topic | mean land surface temperature RTM-DTC Qinghai–Tibet Plateau |
| url | https://www.mdpi.com/2073-4433/14/10/1559 |
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